Automatic Speech Recognition
Transformers
Safetensors
Mobilint
mobilint-qwen3_asr
feature-extraction
custom_code
Instructions to use mobilint/Qwen3-ASR-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mobilint/Qwen3-ASR-1.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mobilint/Qwen3-ASR-1.7B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mobilint/Qwen3-ASR-1.7B", trust_remote_code=True, device_map="auto") - Mobilint
How to use mobilint/Qwen3-ASR-1.7B with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="Qwen3-ASR-1.7B", model_type="DEFAULT", model_path="", core_mode="global8", ) try: image = model.preprocess("path/to/image.jpg") output = model(image) result = model.postprocess(output) finally: model.dispose() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4f3a66260ddb8a28e6f04a287e8362da270b217fceb46fe9c559fadced6414e
- Size of remote file:
- 1.77 GB
- SHA256:
- ea0d14c9563794f045aca1bd8b63b3180af5b3401c6d542e7bf28b5f4d91f338
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